Ratehub.ca is hiring a
Head of Data

Summary

The job is for a Head of Data at RateHub, a growing Fintech company based in downtown Toronto with remote options. The candidate will report to the CEO, lead data strategy, mentor the data team, and drive business insights across various departments. The ideal candidate has a Master's degree, 8+ years of experience in data and analytics roles, proficiency with web analytics tools, and experience defining, designing, and evolving a large data warehouse.

Requirements

• Proven Data Leader in Financial Services
• Experience building and scaling Data teams
• Strong commercial mindset
• Ability to thrive in ambiguity
• Post-secondary degree: Our ideal candidate has a Master’s degree in Statistics, Mathematics, Business, Economics or Engineering
• 8+ years of experience in Data and analytics roles. Ideal candidate has 10+ years of experience
• Proficiency with web analytics tools such as Google Analytics, Google Tag Manager, Google Ad Words and Heap (or similar)
• Experience with reporting visualization tools (Looker, Tableau or similar)
• Experience defining, designing and evolving a large data warehouse, including architecture, table schemas and technology selections
• Comfort with Python, SQL, and ideally some familiarity with R
• Experience with cloud hosting platforms (AWS, GCP, Azure), schedule runners (Airflow) and data transformation tools (dbt) is considered an asset
• Experience in hiring, training, mentoring and retaining talented team members

Responsibilities

• Leadership: Own the vision and roadmap for Data at Ratehub.ca
• Be the partner to the CEO in setting up the organization to own our data, own our members
• Foster a culture of owning the membership data, data fluency and data-driven decision-making across the organization
• Run Data as a business within the broader Ratehub Membership business
• Mentor and grow the Data team to build best in class talent across Data Science, Data Engineering, Modeling, Analytics and retain them
• Own the vision and drive best practices across: Data ingestion - First party and 3rd party, Data harvesting, Data Engineering, Data Analysis, Modeling
• Model the data to drive price optimization, Revenue optimization, Member insights, approval odds, pre-approvals etc
• Own Data science, modeling, reporting and monitoring of our key metrics
• Uncover actionable insights for our product, business and marketing teams and communicating those insights effectively to key stakeholders
• Design experiments and iterate to drive outcomes across product, pricing and marketing
• Design, implement, and manage all of the tools and processes necessary to enable data-informed decisions across the organization
• Ensure that the correct systems and processes are in place to maintain data integrity and standardized metrics across the business

Benefits

• Competitive salary: We know life is expensive
• Benefits: Health is wealth! A benefits package with no employee contribution required
• Perks: RRSP matching program, individual training allowance, access to financial literacy training and resources
• Casual dress code: If it’s good enough for you, it’s good enough for us
• Fun team socials